Case Study · Service Design in the Workplace

The DIRTT Pipeline

Rebuilding an outsourced print production process in-house to improve operational efficiency.

Service Design · Process Improvement · Workflow Automation · Calgary, Alberta

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The 30-second version

My role

UX research, service design, and workflow automation for the artwork pipeline. Production Artist at the time; promoted to Senior Production Designer in July 2026

Scope

The end-to-end custom graphics process: 4 teams, 2 production shifts, and every file between partner request and print production

Outcome

~90% faster file handoff · 4x pre-press throughput · ~20% shorter sample lead time · one redundant system and its licensing cost removed

The methods, in plain terms
User researchContextual inquiry & direct observationStakeholder interviews · 4 teams, 2 shiftsCustomer journey mappingCurrent-state workflow mappingRoot cause analysisSolution validation with usersFuture-state redesignWorkflow automationMeasured outcomes · KPIs
The Problem

A Department of One

DIRTT had just brought its custom graphics work in-house after years of outsourcing it. The external vendor had quoted the jobs, designed the proofs, built the print-ready files, and pushed everything through SharePoint. When the work moved in-house the vendor left, but their workflow stayed: a process built around handoffs to a company that was no longer in the building.

I joined in July 2025 as the Artwork Department, a department of one, and took on making that inherited process work at in-house speed. Custom graphics were slow, expensive to route, and dependent on a system nobody needed anymore.

My brief: research how the custom graphics pipeline actually ran, define where it was losing time, and redesign it end to end, from partner request through to print production.

Every job runs through my desk. The Production team cannot start until artwork is done, so any delay I left in place became everyone's delay.

Self-initiated · July 2025 to January 2026, with ongoing oversight · Research across Custom Finishes, Quality, the Product Manager for Finishes, Production Shifts A and B, plant leadership, and IT · The former vendor is anonymized and some internal details generalized for confidentiality.
Empathize · Chapter 1

Research With the People Who Live in the Process

Qualitative and quantitative research with staff and end users, before changing a thing

I ran the inherited process exactly as documented for my first few weeks, treating myself as the first research subject: where I waited, where I repeated myself, where vendor-era assumptions no longer fit. Alongside that I ran a documentation review of our internal artwork hub, years of training videos and PDFs, to understand why each step existed.

  • Contextual inquiry and direct observation: working the process end to end, then following the files downstream onto the plant floor to watch what happened after my handoff.
  • Stakeholder interviews with the partner-facing side: the Custom Finishes team, the Quality team, and the Product Manager for Finishes, on what partners ask, where they get confused, and where requests stall.
  • User interviews with the end users of my output, run separately with Shift A and Shift B, to test whether the two crews experienced the process differently.
  • Quantitative baseline: timing each stage of a job, from quote through proof, approval, file transfer, and download.

"I usually allot a full day to download the files."

Print Operator, on the old SharePoint handoff

Both shifts, interviewed independently, named the same bottleneck. When two teams that barely see each other report identical friction, the finding holds.

Define · Chapter 2

Mapping the Research Into a Problem Worth Solving

Current-state workflow map and customer journey map, built from the research findings

I translated the research into two artefacts in Miro: a current-state workflow map of the business process, and a customer journey map running from partner submission through samples and final print production. Every point where a job sat idle got marked. Together they told one story: the pipeline waited more than it worked.

  • Upstream, jobs still moved at the vendor's pace: quotes 2 business days, proofs a flat 4, Order Entry approval through a 2-day email chain, with buffer days padding nearly every handoff.
  • In my own stage, pre-press preparation was fully manual, capping output at roughly 25 print-ready files a day.
  • Downstream, the journey map made the sharpest finding visible: the team was maintaining two systems for the same files, and the slower one, SharePoint, sat directly on the critical path.

The journey map turned a vague complaint about slowness into a specific, defensible problem statement: one redundant system was gating the entire pipeline.

Ideate · Chapter 3

Solution Discovery: Remove a System Instead of Adding One

From the mapped pain point to a validated solution

The obvious instinct with a slow tool is to buy a better tool. The research pointed the other way. The journey map showed Production already pulling files from an internal network folder every day for other work, so the faster system was one the team had already adopted and trained on.

  • Options considered: keep both systems and try to speed up SharePoint sync, compress files at upload, or consolidate onto the network folder already in daily use.
  • Chosen direction: subtraction. Retire SharePoint from the production process. Zero new software, zero training curve, and one place for every job file.
  • Validated before building: I took the proposal back to Shift A and Shift B in follow-up interviews to confirm it solved the problem they had described, rather than the one I assumed.
  • Second bottleneck, separate solution: with the handoff fixed, my own manual pre-press became the ceiling, which pointed to automation rather than process change.

The strongest solution in the set was the one that removed a tool rather than introducing one.

Implement · Chapter 4

The Green Light (and the Locked Folder)

The chapter with the most people in it

A pipeline change isn't a design decision you make alone. I built the case and brought it to my Manager, the Plant Manager, and the Plant Supervisor. The Miro maps did most of the convincing. Approval wasn't the last obstacle, though: only the Production Lead had access to the internal job folders, which meant the whole plan didn't work until the Print PC could reach them too. I coordinated with IT to open that access. The final piece was telling partners: a faster process only helps if people know what to expect, so I redesigned the partner-facing Custom Graphics Timeline graphic to reflect the new reality, with updated stages, durations, and complexity tiers partners can self-assess against.

Sometimes the fix isn't the workflow. It's the permissions.

The System Behind the Story

One Job, Seven Systems

A custom graphics job doesn't live in one tool. It crosses an entire chain, and every hop is a place where work can wait or break. Labels generalized for confidentiality.

Partner intake & ticketingDesign & spec toolsAutomation scriptsInstrument-verified colorOrder & PO systemProduction reportingPrint production

Bad files at the door

Partner artwork arrives in every state imaginable. The quality gate catches it early: nothing reaches Order Entry without Artwork Department approval.

Dimensions that drift

Print files are gated on the official Production Report because it carries the most accurate dimensions. Slower by hours, correct by design.

Color that lies

Color matching is verified by instrument, not by eye, so what the partner approved is what the printer produces.

Access that blocks

The redesign only worked once IT opened the internal job folders to the Print PC. In a multi-system workflow, permissions are part of the design.

The Solution

Three Moves

Move 1

Redesign the Flow

I compared the map against how I would actually run the department and cut every step that only existed because of the old vendor handoff. Quotes now turn around in 1 business day instead of 2, proofs dropped from a flat 4 business days to 2 to 4 depending on complexity, and the 2-day email approval chain became same-day direct approval from the Artwork Department.

Move 2

Automate the Bottleneck

With the flow fixed, the ceiling was my own two hands. I wrote an Illustrator ExtendScript to automate pre-press prep across three stock types. My first approach used a destructive raster crop; I abandoned it once I saw the risk and replaced it with a simpler three-step flow. Output went from about 25 print-ready files a day to about 100, and files still wait for the official Production Report, because it carries the most accurate dimensions.

Move 3

Remove a System

The obvious instinct with a slow tool is to buy a better tool. The research showed the better tool was already there: the internal network folder the team used every day. So the proposal was subtraction: retire SharePoint from the production process. Zero new software, zero training curve, and every job file, print files included, organized in one place and connected to the job.

What the three moves did to the end-to-end timeline, drawn to the same scale:

Old timeline

roughly 18 to 25 business days end to end
Quote · 2 daysBuffers · 1-2 days eachProof · 4 daysSamples & color match · 7-12 daysApproval · 2 daysTransfer · up to 1 day

New timeline

roughly 8 to 16 business days end to end
Quote · 1 dayProof · 2-4 daysSamples · 5-10 daysApproval · same-dayTransfer · minutes
The Evidence

Before and After, Mapped

Recreated and simplified from my Miro workflow maps and the partner-facing timeline I redesigned. The originals stay internal for confidentiality; I'm happy to walk through them in an interview.

The inherited flow: the vendor's workflow, still running after the vendor left

Partner requestVendor quote2 daysBuffer1-2 daysVendor proof4 daysBuffer1-2 daysSamples & color matching7-12 daysEmail approval chain2 daysVendor print files via SharePointhours to uploadProduction downloadup to a full day

The redesigned in-house flow: fewer handoffs, direct approvals, one system

Partner requestArtwork Team quote1 dayProof2-4 daysSamples5-10 daysDirect approvalsame-dayScripted print files to the job foldersame day as the Production ReportProduction downloadminutes
Test & Outcome

Nobody Blocks Out a Full Day Anymore

After rollout, I went back to both ends of the pipeline to validate. The numbers tell the rest.

~90%

Faster File Handoff

Download time from 1-2 days to minutes

4x

Pre-Press Throughput

25 to ~100 print-ready files a day

~20%

Shorter Sample Lead Time

7-12 down to 5-10 business days*

50%

Faster Quotes

2 business days down to 1

Same-day

Order Entry Approvals

Down from a 2-day email chain

Cost cut

Licensing Removed

One redundant system retired entirely

*Samples without color matching. Color-matched samples remain at 7 to 12 business days, which is exactly where my current colour research is focused. The story isn't over: I now work closely with the Production team to oversee the process and catch friction as it appears.

Epilogue

What the Pipeline Taught Me

Process and tooling are the same design problem at different zoom levels. Redesigning the artwork flow cut the waiting, automating one step inside it quadrupled the output, and removing SharePoint cleared the handoff. No single change would have moved lead time by two days; the pipeline only got faster because I treated it as one system instead of two departments.

And the best research I did was the least glamorous: running the broken version first, for weeks, until I knew exactly what needed to change and could prove it.

If you build SaaS, this story should feel familiar: a multi-system workflow with hard data dependencies, role-based permissions, edge cases caught by design, stakeholder buy-in across three levels of leadership, a staged rollout, and post-launch monitoring. The surface was a plant floor instead of a dashboard. The discipline is the same.